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⚠️ Most AI courses teach how to use LLMs. This module teaches how LLMs actually work under the hood. In Module 2 of the Agentic AI Masterclass, we take a deep dive into the internal mechanics of Large Language Models (LLMs), embeddings, and prompt engineering—the core building blocks behind modern agentic AI systems. You’ll clearly understand how: Tokens, context windows, and attention shape LLM behavior Embeddings convert text into semantic vector representations Semantic search and retrieval work in AI systems Prompt engineering directly influences reasoning, memory, and tool usage Agentic workflows rely on embeddings and prompts for accuracy and reliability This module forms the technical backbone for building intelligent AI agents, RAG pipelines, and multi-agent systems. 👉 Part of the Agentic AI Masterclass by PurpleSkill 📌 Who should watch this? Developers working with LLMs AI / ML engineers Prompt engineers Cloud & solution architects Anyone building AI agents or RAG systems ⏱️ Chapters : 00:00 – Why Understanding LLM Internals Matters 02:20 – Tokens, Context & Attention Explained 08:40 – How LLMs Generate Responses 14:30 – What Are Embeddings 20:10 – Semantic Search & Vector Similarity 27:50 – Prompt Engineering Fundamentals 34:40 – Prompts for Agentic AI 41:30 – What Comes Next large language models llm explained embeddings explained prompt engineering llm embeddings agentic ai enterprise ai artificial intelligence architecture ai system design ai engineering ai for developers Your Queries: how large language models work embeddings and semantic search prompt engineering for ai agents llm tokens and attention explained vector embeddings in ai llm internals explained ai decision making large language models, llm explained, embeddings explained, prompt engineering, llm embeddings, agentic ai, ai engineering, enterprise ai, ai architecture, ai system design, ai for developers, semantic search, vector embeddings, ai decision making, llm attention, future of ai 🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬. https://www.youtube.com/@Purpleskill/?sub_confirmation=1 🔗 Stay Connected With Me. Instagram: https://www.instagram.com/purpleskill_admin/ Twitter (X): https://x.com/PurpleSkillTech LinkedIn: https://www.linkedin.com/company/purpleskill/ 📩 For business inquiries: contact@purpleskill.com ============================= 🎬Suggested videos for you: ▶️ https://www.youtube.com/watch?v=x7NPlCt738M ▶️ https://www.youtube.com/watch?v=2ULtXVpmZyE ▶️ https://www.youtube.com/watch?v=d0N7MwW8ifQ ▶️ https://www.youtube.com/watch?v=od8SM0AIGpA ▶️ https://www.youtube.com/watch?v=4z2RIYxWaLs ▶️ https://www.youtube.com/watch?v=6J1NFs0PlkI ▶️ https://www.youtube.com/watch?v=nPV1eGxkUNY ▶️ https://www.youtube.com/watch?v=T_55GPmgrbE ▶️ https://www.youtube.com/watch?v=cTqjy--0gJU ▶️ https://www.youtube.com/watch?v=SOg1JasDZF0 ▶️ https://www.youtube.com/watch?v=jC0HBs6GUo0 ▶️ https://www.youtube.com/watch?v=Mkdor0DpaUg ▶️ https://www.youtube.com/watch?v=u3PqiS0KrBg ▶️ https://www.youtube.com/watch?v=Jd4ox_qeFDA ================================= ✅ About PurpleSkill. Welcome to PurpleSkil! On this channel, you'll find easy-to-understand tutorials and learning videos on AI, Cloud Computing, Python, Machine Learning, and more. I simplify complex tech concepts, making them accessible so you can build practical skills and advance your career. If you're new to tech or aiming to level up, you'll find everything you need to succeed, from programming to certifications and real-world projects. Start learning the skills that will help you grow in this fast-evolving field. For Business inquiries, please use the contact information below: 📩 Email: contact@purpleskill.com 🔔 Looking to level up your tech skills? Hit subscribe for expert tutorials on AI, Cloud, Python, Machine Learning, and more to help you grow in the tech world. https://www.youtube.com/@Purpleskill/?sub_confirmation=1 ================================= #LLM #PromptEngineering #AgenticAI #EnterpriseAI #AIEngineering #ArtificialIntelligence #Embeddings #FutureOfAI Secrets Revealed: Deep Dive into LLMs, Embeddings & Prompt Engineering